Scientist, Bioinformatics
Moderna is seeking an exceptionally talented and motivated bioinformatician to be a catalyst across Research and Technology Development, accelerating our mRNA medicines through cutting-edge computational analyses and bioinformatics pipeline development. In this role, you will advance how long- and short-read sequencing are used to characterize RNA and DNA at scale - designing algorithms, building robust bioinformatics pipelines, and delivering clear and decision-enabling insights. You will partner closely with wet-lab scientists to co-design experiments, apply novel methods on emerging sequencing platforms (with a strong focus on Oxford Nanopore Technologies, ONT), and stand up real-time and batch analytics that quantify quality attributes, uncover mechanisms, and guide process/assay development. The ideal candidate blends deep NGS/long-read sequencing expertise with strong software engineering, solid molecular biology background, and the curiosity to turn complex data into simple, actionable narratives.
Here's What You'll Do:- Develop and optimize ONT methods for DNA and RNA characterization (e.g. cDNA vs. direct RNA sequencing, barcoding, de-multiplexing).
- Build and maintain ONT analysis pipelines covering signal-level analysis, basecalling, alignment, polishing, and comprehensive data verification.
- Build intuitive visualization and reporting tools that communicate characterization and biological findings to technical and non-technical stakeholders.
- Develop and maintain documentation, SOPs, and best-practice guides; mentor colleagues and contribute to a culture of reproducibility and scientific rigor.
- Provide suggestions to wet lab scientists and contribute to experimental design
- Work cross-functionally across Research and Technology Development to deliver timely NGS/long-read analyses and feedback that improve experimental design and data quality.
- Contribute to scientific and strategy discussions focused on attributes specific to developing mRNA medicines
- Communicate findings internally and (as appropriate) externally
- Ph.D. in Bioinformatics, Computational Biology, or related field with 1+ years of relevant industrial experience
- Technical expertise
- Practical data analysis experience with Oxford Nanopore data types (cDNA, direct RNA, demultiplexing), basecalling, signal-level methods, and downstream interpretation.
- Expert in Python and R programming, clean and well-tested code, packaging and documentation.
- Producing visualizations of complex NGS results
- High performance computing in a distributed/cloud environment, e.g. AWS
- Software development best practices, including agile, version control, unit and integration testing, documentation, and deployment.
- Strong understanding of the drug development process and fundamentals of mRNA technology
- Capable to draw robust conclusions from complex datasets, and present them in a clear and understandable way
- Capable of efficiently contributing to multiple concurrent and fast-paced projects
- Strong written and oral communication skills and a track record of achievement in publications and/or patent applications
- Best-in-class healthcare coverage, plus voluntary benefit programs to support your unique needs
- A holistic approach to well-being, with access to fitness, mindfulness, and mental health support
- Family planning benefits, including fertility, adoption, and surrogacy support
- Generous paid time off, including vacation, volunteer days, sabbatical, global recharge days, and a discretionary year-end shutdown
- Savings and investment opportunities to help you plan for the future
- Location-specific perks and extras
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